In-Vehicle Computing Resource Allocation for Lower Power Consumption
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Solution Overview
Problem
The integration of multiple functions in vehicles leads to increased power consumption in in-vehicle devices, which affects the cruising distance of electric vehicles and complicates power consumption management among various applications.
Innovation Solution
An in-vehicle device that acquires vehicle state information to predict processing load and dynamically allocates physical resources based on this information, adjusting power and clock supply to optimize resource usage and reduce unnecessary consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple functions are integrated in in-vehicle devices, then functionality and versatility are improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic resource allocation where the control unit continuously monitors the operational state of multiple applications and adjusts the allocation of processing resources (CPU cycles, memory, power supply) in real-time based on actual needs. This allows the system to provide full functionality when needed while reducing power consumption during low-demand periods.
Solution Approach 2:
The system changes operational parameters such as CPU frequency, power supply voltage, and resource allocation ratios dynamically based on the operational states of applications. By adjusting these parameters according to actual processing needs, the system maintains versatility while optimizing power consumption.
2Adaptability or versatility
If multiple applications are executed simultaneously, then adaptability is improved, but power consumption management becomes complicated
Solution Approach 1:
The control unit implements a feedback mechanism that continuously monitors the operational states of all applications, processes this information, and automatically adjusts resource allocation accordingly. This closed-loop control simplifies power management by replacing complex manual configuration with automated decision-making based on real-time system state.
Solution Approach 2:
The system performs self-service power management where the control unit autonomously determines the operational states of applications and allocates resources without external intervention. This self-managing capability reduces the complexity of power consumption management by making the system self-regulating.
3Reliability
If physical resources are allocated to all applications, then reliability is improved, but power consumption increases
Solution Approach 1:
The system applies partial resource allocation by providing full resources only to applications that require them for reliable operation, while allocating reduced or suspended resources to applications that can tolerate lower performance or are currently inactive. This selective allocation maintains necessary reliability while reducing overall power consumption.
Data Source
AI summary
An in-vehicle device is mounted to a vehicle and includes: an acquisition unit configured to acquire state information indicating a state of the vehicle; a plurality of physical resources; and an allocation unit configured to change, in accordance with the state indicated by the state information acquired by the acquisition unit, allocation of the physical resources to be used in a target process being one or a plurality of types of processes that should be performed by the in-vehicle device.